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PhillyPUG September 2012 Meetup - Numpy and StarCluster

  • Sep 27, 2012 · 6:30 PM
  • SunGard Availability Services


6:30 PM - 7:00 PM - Food, Networking, and a word from our sponsor (50onRed)

7:00 PM - 7:20 PM - StarCluster by Angel Pizarro

7:30 PM - 8:10 PM - A Pragmatic Approach to Numpy and Matplotlib by Tom Adelman

8:15 PM - 8:30 PM - Lightning Talks

8:30 PM - Leave for Prohibition Taproom

More Details:

StarCluster by Angel Pizarro

Almost instant, fully-configured Grid Engine clusters on AWS? Yes please.

From the website:  StarCluster is an open source cluster-computing toolkit for Amazon’s Elastic Compute Cloud (EC2) released under the LGPL license. StarCluster has been designed to automate and simplify the process of building, configuring, and managing clusters of virtual machines on Amazon’s EC2 cloud. StarCluster allows anyone to easily create a cluster computing environment in the cloud suited for distributed and parallel computing applications and systems.

Angel Pizarro works with large genomics data sets for UPENN, developing algorithms and managing computational resources for the researchers. He also likes making funny looking tech accessories.

A Pragmatic Approach to Numpy and Matplotlib by Tom Adelman

Numpy is the core library for number crunching in Python. In this talk, “A pragmatic approach to Numpy and Matplotlib”, Tom will discuss when and how to use Numpy. The presentation will start with the Numpy basics and finish with several advanced applications. In practical work, users can make a lot of progress with just the basics of Numpy, so complete novices will be provided a good foundation for getting started. Tom will also introduce Matplotlib and show how to use it to plot the results of the Numpy calculations.

Tom Adelman has spent the bulk of his career working in academic physics and neuroscience, and has used Python and Numpy throughout for nearly every programming task, particularly with data analysis and experiment control. Currently, Tom works as an independent consultant designing systems for basic science research, such as dynamic mazes, panoramic virtual reality systems, and surgical robots.


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